Spurious correlation #2,377 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in information sciences and the second variable is The number of judges in New Mexico. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in information sciences and the second variable is The number of judges in New Mexico. The chart goes from 2012 to 2021, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the expertise in organizing data and accessing information grew, it created a ripple effect in the legal field. More efficient case management led to a higher demand for judges to preside over the sudden influx of resolved cases. It's a classic case of 'Ctrl + S' for the justice system - saving cases and creating more 'appeal'!

^{Show image generation prompt} Model: dalle-3
Prompt: "In a sleek office space, a group of professionals proudly display their Master's degrees in information sciences. Surrounded by computer screens and coding textbooks, they work diligently as a digital assistant, endowed with advanced AI technology, expertly manages judicial proceedings. The assistant handles paperwork and court cases with remarkable precision. Meanwhile, in New Mexico, the number of judges in the courtroom rapidly multiplies, responding to the growing demand for their expertise, sparked by the remarkable efficiency of AI-powered judicial assistants." The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Master's degrees awarded in information sciences and The number of judges in New Mexico. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Cutsy art illustration Voxel art Macabre High-tech Photorealism
ChatGPT: High-tech

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Master's degrees awarded in information sciences and The number of judges in New Mexico, in the following situation: As the number of Master's degrees awarded in information sciences increased, so did the proficiency of individuals in coding. This led to a surge in the development of AI-powered judicial assistants. These digital colleagues were so effective at managing court cases and paperwork that the demand for human judges in New Mexico skyrocketed. It seems the future of justice might just involve a binary-based bench!. Keep the description simple.
ChatGPT: In a vibrant office setting, a group of individuals proudly displaying their Master's degrees in information sciences are seen surrounded by computer screens and coding textbooks. As they work meticulously, a digital assistant, equipped with advanced AI technology, efficiently manages the judicial proceedings, effectively handling paperwork and court cases with remarkable precision. Meanwhile, in the state of New Mexico, the number of judges in the courtroom begins to increase rapidly, responding to the growing demand for their expertise, triggered by the remarkable efficiency of the AI-powered judicial assistants.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ High-tech ] and depicting this scene: In a vibrant office setting, a group of individuals proudly displaying their Master's degrees in information sciences are seen surrounded by computer screens and coding textbooks. As they work meticulously, a digital assistant, equipped with advanced AI technology, efficiently manages the judicial proceedings, effectively handling paperwork and court cases with remarkable precision. Meanwhile, in the state of New Mexico, the number of judges in the courtroom begins to increase rapidly, responding to the growing demand for their expertise, triggered by the remarkable efficiency of the AI-powered judicial assistants. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: "In a sleek office space, a group of professionals proudly display their Master's degrees in information sciences. Surrounded by computer screens and coding textbooks, they work diligently as a digital assistant, endowed with advanced AI technology, expertly manages judicial proceedings. The assistant handles paperwork and court cases with remarkable precision. Meanwhile, in New Mexico, the number of judges in the courtroom rapidly multiplies, responding to the growing demand for their expertise, sparked by the remarkable efficiency of AI-powered judicial assistants."

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Master's degrees awarded in information sciences caused The number of judges in New Mexico to increase. Add a funny one-liner at the end.

AI academic paper

(Because p < 0.01)

Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction

The Journal of Information and Legal Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Master's degrees awarded in information sciences and The number of judges in New Mexico. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction

[[ABSTRACT]]
In the realm of academia, it's no secret that the relationship between master's degrees awarded in information sciences and the number of judges in New Mexico has been a topic of curiosity. Much like a good dad joke, the correlation between these two seemingly unrelated entities may leave us scratching our heads.

Our research team delved into this puzzling connection using data from the National Center for Education Statistics and the Bureau of Labor Statistics, aiming to shed light on this enigmatic enigma. After much data crunching and caffeine consumption, we uncovered a striking correlation coefficient of 0.9391181 and a statistically significant p-value of less than 0.01 for the period from 2012 to 2021.

So, what did our findings reveal? It seems that as the number of master’s degrees in information sciences awarded in New Mexico increased, so did the number of judges in the state. One might say, "That's quite an infomazing relationship!" But before we go around cracking more dad jokes, it's important to recognize the potential implications of this unexpected correlation on the legal and educational landscapes.

In conclusion, our study has uncovered a noteworthy association between the attainment of master's degrees in information sciences and the quantity of judges in the Land of Enchantment. While the reasons behind this correlation remain as mysterious as the punchline of a classic dad joke, our findings provide an intriguing foundation for further investigation and speculation.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between educational attainment and the workforce in various professional fields has long been a topic of interest among researchers and policymakers. In the realm of information sciences and judiciary, this connection has been no exception. While the very notion of a connection between Master's degrees awarded in information sciences and the number of judges in New Mexico may seem as perplexing as trying to explain a dad joke to your teenage daughter, our research seeks to unravel this apparent enigma.
As we embark on this academic journey, it's essential to acknowledge the valuable contributions of previous studies in this area. Researchers have previously explored the link between educational trends and occupational patterns, but few have delved into the specific juxtaposition of information sciences and the judicial system. The dearth of prior research in this niche area left us feeling as baffled as when you can't find the "CTRL" key and someone tells you it's not under control!
Leveraging data from authoritative sources such as the National Center for Education Statistics and the Bureau of Labor Statistics, we undertook a rigorous analysis to elucidate the relationship between Master's degrees in information sciences and the number of judges in New Mexico. Through meticulous data crunching and statistical analysis, we sought to shed light on this unexpected correlation, much like one would shine a light on the punchline of a well-crafted dad joke.
Stay tuned for the subsequent sections, wherein we will illuminate the details of our methodologies, present our findings, and explore the potential implications of our discoveries. Just like a well-timed pun, our research aims to provide both insight and amusement in the seemingly unrelated realms of information sciences and judicial numbers.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

The existing body of literature on the correlation between educational attainment and occupational distribution offers valuable insights into the complex dynamics at play in the professional landscape. Smith et al. (2015) emphasized the significance of educational trends in shaping the composition of the workforce, a concept that resonates with our investigation into the connection between Master's degrees awarded in information sciences and the number of judges in New Mexico. As we delve into the works of these esteemed scholars, it's worth noting that our research treads the uncharted territory much like a dad joke at a scholarly conference - unexpected yet captivating.

In "Education and Occupational Distribution: A Comprehensive Analysis," Doe (2018) explored the intricate relationship between academic pursuits and career paths, providing a nuanced perspective on the influence of educational credentials on workforce composition. The findings presented in Doe's work align with the fundamental tenets of our own research, albeit with a twist that's as surprising as finding out the punchline to a well-crafted dad joke was hiding in the footnotes all along.

Turning to a more specialized lens, Jones (2020) examined the educational landscape in New Mexico, shedding light on the trends in Master's degree attainment across various disciplines. While Jones' work does not specifically address the interplay between information sciences and judicial roles, it sets the stage for our exploration by illuminating the broader educational context in the Land of Enchantment. One might say our research took inspiration from Jones much like a good dad joke takes inspiration from a family barbecue - a bit of local flair and a whole lot of unexpected connections.

In the realm of non-fiction, "The Information: A History, a Theory, a Flood" by James Gleick offers a comprehensive exploration of the evolution of information and its impact on society. While this work may not directly address our research focus, its insightful perspectives on the intricate web of information could serve as inspiration for understanding the underlying forces at play in our analysis. You could say we're diving into this topic as enthusiastically as a dad telling a fishing joke - hook, line, and sinker.

On the more fictional side, works such as "The Informationist" by Taylor Stevens and "The Rule of Four" by Ian Caldwell and Dustin Thomason tantalize readers with narratives that intertwine information, knowledge, and mysteries. While these novels stray from the terrain of academic research, they weave compelling tales that spur the imagination, much like our own pursuit to untangle the enigmatic intertwining of information sciences and judicial numbers. It's almost as if our research is a mystery novel in itself - a page-turner with an unexpected plot twist you never saw coming.

Now, as we depart from the traditional confines of scholarly literature, it's worth acknowledging the unconventional sources that sparked our curiosity. From perusing local newspapers to scrutinizing the fine print on CVS receipts, our quest for understanding has led us down unexpected paths, much like stumbling upon a dad joke in the most unlikely of places. But fear not, dear reader, for our findings remain rooted in rigorous analysis, despite the whimsical nature of our anecdotal adventure.

In the ensuing sections, we will expound upon the methodologies employed in our study, present the compelling findings that emerged from our investigation, and delve into the potential implications of this unexpected correlation. Join us on this academic escapade as we unravel the intertwined threads of education, information sciences, and the judiciary, much like... well, you guessed it, a well-timed dad joke.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Master's degrees awarded in information sciences and The number of judges in New Mexico. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction

[[ABSTRACT]]
In the realm of academia, it's no secret that the relationship between master's degrees awarded in information sciences and the number of judges in New Mexico has been a topic of curiosity. Much like a good dad joke, the correlation between these two seemingly unrelated entities may leave us scratching our heads.

Our research team delved into this puzzling connection using data from the National Center for Education Statistics and the Bureau of Labor Statistics, aiming to shed light on this enigmatic enigma. After much data crunching and caffeine consumption, we uncovered a striking correlation coefficient of 0.9391181 and a statistically significant p-value of less than 0.01 for the period from 2012 to 2021.

So, what did our findings reveal? It seems that as the number of master’s degrees in information sciences awarded in New Mexico increased, so did the number of judges in the state. One might say, "That's quite an infomazing relationship!" But before we go around cracking more dad jokes, it's important to recognize the potential implications of this unexpected correlation on the legal and educational landscapes.

In conclusion, our study has uncovered a noteworthy association between the attainment of master's degrees in information sciences and the quantity of judges in the Land of Enchantment. While the reasons behind this correlation remain as mysterious as the punchline of a classic dad joke, our findings provide an intriguing foundation for further investigation and speculation.

[[LITERATURE REVIEW]]
The existing body of literature on the correlation between educational attainment and occupational distribution offers valuable insights into the complex dynamics at play in the professional landscape. Smith et al. (2015) emphasized the significance of educational trends in shaping the composition of the workforce, a concept that resonates with our investigation into the connection between Master's degrees awarded in information sciences and the number of judges in New Mexico. As we delve into the works of these esteemed scholars, it's worth noting that our research treads the uncharted territory much like a dad joke at a scholarly conference - unexpected yet captivating.
In "Education and Occupational Distribution: A Comprehensive Analysis," Doe (2018) explored the intricate relationship between academic pursuits and career paths, providing a nuanced perspective on the influence of educational credentials on workforce composition. The findings presented in Doe's work align with the fundamental tenets of our own research, albeit with a twist that's as surprising as finding out the punchline to a well-crafted dad joke was hiding in the footnotes all along.
Turning to a more specialized lens, Jones (2020) examined the educational landscape in New Mexico, shedding light on the trends in Master's degree attainment across various disciplines. While Jones' work does not specifically address the interplay between information sciences and judicial roles, it sets the stage for our exploration by illuminating the broader educational context in the Land of Enchantment. One might say our research took inspiration from Jones much like a good dad joke takes inspiration from a family barbecue - a bit of local flair and a whole lot of unexpected connections.
In the realm of non-fiction, "The Information: A History, a Theory, a Flood" by James Gleick offers a comprehensive exploration of the evolution of information and its impact on society. While this work may not directly address our research focus, its insightful perspectives on the intricate web of information could serve as inspiration for understanding the underlying forces at play in our analysis. You could say we're diving into this topic as enthusiastically as a dad telling a fishing joke - hook, line, and sinker.
On the more fictional side, works such as "The Informationist" by Taylor Stevens and "The Rule of Four" by Ian Caldwell and Dustin Thomason tantalize readers with narratives that intertwine information, knowledge, and mysteries. While these novels stray from the terrain of academic research, they weave compelling tales that spur the imagination, much like our own pursuit to untangle the enigmatic intertwining of information sciences and judicial numbers. It's almost as if our research is a mystery novel in itself - a page-turner with an unexpected plot twist you never saw coming.
Now, as we depart from the traditional confines of scholarly literature, it's worth acknowledging the unconventional sources that sparked our curiosity. From perusing local newspapers to scrutinizing the fine print on CVS receipts, our quest for understanding has led us down unexpected paths, much like stumbling upon a dad joke in the most unlikely of places. But fear not, dear reader, for our findings remain rooted in rigorous analysis, despite the whimsical nature of our anecdotal adventure.
In the ensuing sections, we will expound upon the methodologies employed in our study, present the compelling findings that emerged from our investigation, and delve into the potential implications of this unexpected correlation. Join us on this academic escapade as we unravel the intertwined threads of education, information sciences, and the judiciary, much like... well, you guessed it, a well-timed dad joke.

[[RESULTS]]
The analysis of data collected from the National Center for Education Statistics and the Bureau of Labor Statistics for the time period 2012 to 2021 revealed a strong and eyebrow-raising correlation between the number of Master's degrees awarded in information sciences and the number of judges in the state of New Mexico. The calculated correlation coefficient of 0.9391181 and an r-squared value of 0.8819428 left our research team feeling as pleasantly surprised as stumbling upon a well-timed dad joke at a family gathering.
Upon visualizing the relationship between these two variables in a scatterplot (Fig. 1), one could almost hear the echoes of amused chuckles as the data points formed a clear upward trend. It was as if the data itself was whispering, "Have you heard the one about the librarian who went to judge a book by its cover?" Of course, we couldn't help but giggle at the thought.
The statistical analysis yielded a p-value of less than 0.01, signifying a significant relationship between the number of Master's degrees in information sciences and the quantity of judges in the state. This statistical significance was as glaring as the punchline of an obvious dad joke, leaving us with an inevitable smirk of recognition.
Our findings indicate that as the number of Master's degrees in information sciences awarded in New Mexico increased, there was a corresponding rise in the number of judges in the state. Such a direct relationship between these seemingly disparate domains is akin to discovering that the town librarian moonlights as a stand-up comedian – unexpected, yet undeniably intriguing.
The implications of this unexpected correlation are as open to interpretation as a pun in a different language – a world of potential meanings and ramifications awaiting exploration. While our study has provided an initial glimpse into this enigmatic relationship, the underlying reasons and causative factors behind this correlation remain as mysterious as the setup to a dad joke.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our study have brought to light a compelling and puzzling association between the number of Master's degrees awarded in information sciences and the quantity of judges in the state of New Mexico. It's almost as surprising as finding a dad joke hidden in a legal document – unexpected, yet undeniably attention-grabbing.

Our findings align with prior research that has emphasized the impact of educational trends on workforce composition. The work of Smith et al. (2015) and Doe (2018) highlighted the significance of educational credentials in shaping occupational distribution, reflecting the essence of our investigation. It's as if our research is part of a larger scholarly anthology – each study a chapter in the book of knowledge, with a cheeky dad joke thrown in for good measure.

Furthermore, the analysis of educational landscape trends in New Mexico by Jones (2020) set the stage for our exploration, providing a backdrop much like the setting of a dad joke, to understand the peculiar connection between information sciences and the judiciary. The work of James Gleick, while not specifically addressing our research focus, offers valuable insights into the evolution of information, which could serve as a lighthearted inspiration for unraveling the forces at play in our analysis. It's as if we've embarked on a journey into the heart of a dad joke – full of unexpected twists and turns, yet ultimately satisfying.

Our results support the notion that educational attainment, particularly in information sciences, may exert a substantial influence on occupational distribution, even in fields as seemingly distinct as the judiciary. It's as if the educational landscape is a stage for a lively performance – every degree awarded a potential setup for a punchline waiting to be delivered. As we navigate this uncharted territory, much like a group of hikers following a trail of dad jokes, our study stands as a testament to the unexpected connections that can emerge in the professional realm.

The statistical significance of the correlation coefficient and the p-value in our analysis provides robust evidence for the relationship between Master's degrees in information sciences and the number of judges in New Mexico. This relationship is as unmistakable as a dad joke told through interpretive dance – impossible to miss once it's been revealed.

In conclusion, our findings not only support the existing literature on the impact of educational trends on workforce composition but also shed light on the intriguing connection between information sciences and judicial roles. While we may not have unraveled the mystery behind this curious correlation, our study lays the groundwork for future investigations into the underlying mechanisms at play. It's almost as if our research is a series of interconnected jokes, waiting for the listener to decipher the punchline - a mystery worth exploring further.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Master's degrees awarded in information sciences and The number of judges in New Mexico. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction

[[ABSTRACT]]
In the realm of academia, it's no secret that the relationship between master's degrees awarded in information sciences and the number of judges in New Mexico has been a topic of curiosity. Much like a good dad joke, the correlation between these two seemingly unrelated entities may leave us scratching our heads.

Our research team delved into this puzzling connection using data from the National Center for Education Statistics and the Bureau of Labor Statistics, aiming to shed light on this enigmatic enigma. After much data crunching and caffeine consumption, we uncovered a striking correlation coefficient of 0.9391181 and a statistically significant p-value of less than 0.01 for the period from 2012 to 2021.

So, what did our findings reveal? It seems that as the number of master’s degrees in information sciences awarded in New Mexico increased, so did the number of judges in the state. One might say, "That's quite an infomazing relationship!" But before we go around cracking more dad jokes, it's important to recognize the potential implications of this unexpected correlation on the legal and educational landscapes.

In conclusion, our study has uncovered a noteworthy association between the attainment of master's degrees in information sciences and the quantity of judges in the Land of Enchantment. While the reasons behind this correlation remain as mysterious as the punchline of a classic dad joke, our findings provide an intriguing foundation for further investigation and speculation.

[[INTRDUCTION]]
The relationship between educational attainment and the workforce in various professional fields has long been a topic of interest among researchers and policymakers. In the realm of information sciences and judiciary, this connection has been no exception. While the very notion of a connection between Master's degrees awarded in information sciences and the number of judges in New Mexico may seem as perplexing as trying to explain a dad joke to your teenage daughter, our research seeks to unravel this apparent enigma.
As we embark on this academic journey, it's essential to acknowledge the valuable contributions of previous studies in this area. Researchers have previously explored the link between educational trends and occupational patterns, but few have delved into the specific juxtaposition of information sciences and the judicial system. The dearth of prior research in this niche area left us feeling as baffled as when you can't find the "CTRL" key and someone tells you it's not under control!
Leveraging data from authoritative sources such as the National Center for Education Statistics and the Bureau of Labor Statistics, we undertook a rigorous analysis to elucidate the relationship between Master's degrees in information sciences and the number of judges in New Mexico. Through meticulous data crunching and statistical analysis, we sought to shed light on this unexpected correlation, much like one would shine a light on the punchline of a well-crafted dad joke.
Stay tuned for the subsequent sections, wherein we will illuminate the details of our methodologies, present our findings, and explore the potential implications of our discoveries. Just like a well-timed pun, our research aims to provide both insight and amusement in the seemingly unrelated realms of information sciences and judicial numbers.

[[RESULTS]]
The analysis of data collected from the National Center for Education Statistics and the Bureau of Labor Statistics for the time period 2012 to 2021 revealed a strong and eyebrow-raising correlation between the number of Master's degrees awarded in information sciences and the number of judges in the state of New Mexico. The calculated correlation coefficient of 0.9391181 and an r-squared value of 0.8819428 left our research team feeling as pleasantly surprised as stumbling upon a well-timed dad joke at a family gathering.
Upon visualizing the relationship between these two variables in a scatterplot (Fig. 1), one could almost hear the echoes of amused chuckles as the data points formed a clear upward trend. It was as if the data itself was whispering, "Have you heard the one about the librarian who went to judge a book by its cover?" Of course, we couldn't help but giggle at the thought.
The statistical analysis yielded a p-value of less than 0.01, signifying a significant relationship between the number of Master's degrees in information sciences and the quantity of judges in the state. This statistical significance was as glaring as the punchline of an obvious dad joke, leaving us with an inevitable smirk of recognition.
Our findings indicate that as the number of Master's degrees in information sciences awarded in New Mexico increased, there was a corresponding rise in the number of judges in the state. Such a direct relationship between these seemingly disparate domains is akin to discovering that the town librarian moonlights as a stand-up comedian – unexpected, yet undeniably intriguing.
The implications of this unexpected correlation are as open to interpretation as a pun in a different language – a world of potential meanings and ramifications awaiting exploration. While our study has provided an initial glimpse into this enigmatic relationship, the underlying reasons and causative factors behind this correlation remain as mysterious as the setup to a dad joke.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our study has revealed a remarkable and statistically significant correlation between the number of Master's degrees awarded in information sciences in New Mexico and the quantity of judges in the state, reminiscent of a well-timed dad joke that catches you off guard. The strength of this association, akin to a punchline that leaves no room for doubt, points to a curious interplay between educational attainment in information sciences and the judicial landscape.

The implications of our findings extend as far as the comedic timing of a seasoned dad joke, sparking curiosity and compelling further investigation into the underlying factors driving this unexpected relationship. Much like the layers of meaning behind a well-constructed pun, the reasons behind this correlation are multi-faceted and ripe for exploration.

So, what can we deduce from these findings? It appears that the pursuit of Master's degrees in information sciences may play a role in shaping the composition of the judiciary in the Land of Enchantment. Perhaps it's a case of individuals with such degrees possessing the skill to judge the relevance of information – a twist that would make even the most seasoned dad joke enthusiast nod in approval.

With that being said, we assert with the certainty of a classic dad joke that no further research is needed in this area. We've cracked the code on this head-scratcher, leaving us feeling as satisfied as delivering a well-timed pun at a dinner party. It's time to put a lid on this topic and turn our attention to other mysteries in the realms of academia and beyond.

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Information and Legal Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Interdisciplinary Information Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction with an abstract of In the realm of academia, it's no secret that the relationship between master's degrees awarded in information sciences and the number of judges in New Mexico has been a topic of curiosity. Much like a good dad joke, the correlation between these two seemingly unrelated entities may leave us scratching our heads.
Our research team delved into this puzzling connection using data from the National Center for Education Statistics and the Bureau of Labor Statistics, aiming to shed light on this enigmatic enigma. After much data crunching and caffeine consumption, we uncovered a striking correlation coefficient of 0.9391181 and a statistically significant p-value of less than 0.01 for the period from 2012 to 2021.
So, what did our findings reveal? It seems that as the number of master’s degrees in information sciences awarded in New Mexico increased, so did the number of judges in the state. One might say, "That's quite an infomazing relationship!" But before we go around cracking more dad jokes, it's important to recognize the potential implications of this unexpected correlation on the legal and educational landscapes.
In conclusion, our study has uncovered a noteworthy association between the attainment of master's degrees in information sciences and the quantity of judges in the Land of Enchantment. While the reasons behind this correlation remain as mysterious as the punchline of a classic dad joke, our findings provide an intriguing foundation for further investigation and speculation.

ChatGPT:

Infomastrz Gradz, Judge Counts, information sciences, jurisdiction, master's degrees, judges, New Mexico, National Center for Education Statistics, Bureau of Labor Statistics, correlation coefficient, p-value, educational landscape, legal landscape, association, data analysis

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

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Data details

Master's degrees awarded in information sciences
Detailed data title: Master's degrees conferred by postsecondary institutions in Computer and information sciences and support services
Source: National Center for Education Statistics
See what else correlates with Master's degrees awarded in information sciences

The number of judges in New Mexico
Detailed data title: BLS estimate of judges, magistrate judges, and magistrates in New Mexico
Source: Bureau of Larbor Statistics
See what else correlates with The number of judges in New Mexico

Correlation r = 0.9391181 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.8819428 (Coefficient of determination)
This means 88.2% of the change in the one variable (i.e., The number of judges in New Mexico) is predictable based on the change in the other (i.e., Master's degrees awarded in information sciences) over the 10 years from 2012 through 2021.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 5.6E-5.^Show 0.0000558269564313267500000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.94 in 0.0056% of random cases. Said differently, if you correlated 17,912 random variables^Note Which I absolutely did.
with the same 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.76, 0.99 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021
Master's degrees awarded in information sciences (Degrees awarded)	20925	22782	24514	31475	40130	46553	46468	45671	51527	54174
The number of judges in New Mexico (Laborers)	120	110	110	110	300	320	320	340	340	320

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([20925,22782,24514,31475,40130,46553,46468,45671,51527,54174,])
array_2 = np.array([120,110,110,110,300,320,320,340,340,320,])
array_1_name = "Master's degrees awarded in information sciences"
array_2_name = "The number of judges in New Mexico"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Master's degrees awarded in information sciences
Line chart for only The number of judges in New Mexico
AI-generated correlation image
The spurious research paper: Infomastrz Gradz and Judge Counts: A Tale of Information Sciences and Jurisdiction

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Correlation ID: 2377 · Black Variable ID: 1318 · Red Variable ID: 11819


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